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Identifying risk factors associated with metastatic progression from non-metastatic primary lung cancer among NLST lung cancer patients

Principal Investigator
Name
Summer Han
Degrees
Ph.D
Institution
Stanford University
Position Title
Assistant Professor
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-732
Initial CDAS Request Approval
Dec 8, 2020
Title
Identifying risk factors associated with metastatic progression from non-metastatic primary lung cancer among NLST lung cancer patients
Summary
According to the 2009 Surveillance, Epidemiology, and End Results (SEER) data, the 5-year survival rate for lung cancer patients with localized disease at diagnosis is 52%, but the 5-year survival rate for those with distant metastasis at diagnosis is only 3.6%. One of the most common sites of distant metastasis is the brain, among other sites including liver, adrenal glands and bones. Prior studies have shown that out of the non-small cell lung cancer (NSCLC) cases, approximately 10% present with brain metastases at initial diagnosis and 20-50% develop brain metastasis over the course of the disease. Despite high prevalence and low survival of distant metastasis, such as to the brain, little is known about the predictors for metastasis progression from non-metastatic primary lung cancer. Therefore, the goal of this project is to identify risk factors, among demographics, smoking history, nodule characteristics at screening, primary tumor characteristics at diagnosis, family history, medical history, carcinogen exposure history, comorbidities and other clinical factors, and to develop a risk prediction model for metastatic progression from primary lung cancer. The results of this project aim to potentially inform clinical management and metastatic screening at initial primary lung cancer diagnosis.
Aims

• Characterize lung cancer patients with distant metastatic progression vs. not in the duration of the NLST between 2002 and 2009 (for various metastatic sites)
• Elucidate risk factors and building predictive model of various metastatic sites in subjects with primary lung cancer
• Studying the overall survival from initial diagnosis of lung cancer and from diagnosis of metastases (to various sites)

Collaborators

Chloe Chang Su (Stanford University)
Summer Han (Stanford University)

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